Showing 5 of 5 projects
A high-performance, easy-to-use, and scalable machine learning package for linear models, factorization machines, and field-aware factorization machines.
A software implementation of factorization machines for estimating interactions between categorical variables in large datasets.
A Python library implementing Factorization Machines with a scikit-learn compatible API for regression, classification, and ranking tasks.
A Python implementation of Factorization Machines for recommendation and classification tasks using stochastic gradient descent with adaptive regularization.
TensorFlow implementation of arbitrary order (≥2) Factorization Machines for classification and regression tasks.
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